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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Duties: 85% lead soil data analysis, model implementation, and dissemination of research findings 5% development and guide
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of stable isotopes, mass spectrometry, and computational modeling to quantify in vivo metabolic fluxes in genetically-engineered mice. Under the direction of Curtis Hughey, the postdoctoral associate will
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of Minnesota, working with Professor Russell Funk. This position focuses on using computational methods to understand how knowledge is produced, shared, and applied across complex systems. About the Project
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models. The candidate is expected to be familiar with relevant experimental models, to conduct experiments that test specific hypotheses, and to be able to interpret their data and prepare it for
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preclinical transplant models and human transplant recipients to develop and test precision immunotherapeutic approaches in the field of transplantation, metabolic disorders, and other diseases. About the Study
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Culture, Cardiomyocyte culture, and hiPSC-CM Differentiation. ●Experience with CRISPR/Cas9-mediated gene editing, knock in/knockout model. ●Experience with Cryopreservation, computational modeling. About
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the atmosphere and understand transport pathways by combining observations of PFAS in precipitation from the National Atmospheric Deposition Program with atmospheric modeling techniques. This position primarily
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neurophysiology using animal models. Knowledge in hearing science, hearing impairment, perception, and computational modeling of neural systems. Proficiency in programming for data analysis and modeling (e.g
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the REVEAL project, in which vagus nerve implant patients will be stimulated with various settings, and corresponding responses will be collected across body systems. Multiple types of computational and
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mainly be responsible for developing the building blocks of a forest planning model (adapting inventory data, assessing current growth and yield projections, defining current forest management strategies